Papers
Wed 15 Feb 2023
140 papers
- A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- PRedItOR: Text Guided Image Editing with Diffusion PriorDiffusion models → Image generation, text-to-image and editing
- Commonsense Reasoning for Conversational AI: A Survey of the State of the ArtLLM reasoning → Reasoning benchmarks and evaluation
- Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?LLM reasoning → Mathematical reasoning
- Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the WildDiffusion models → Inverse problems and image restoration
- Speculative Decoding with Big Little DecoderEfficient LLM inference and serving → Speculative decoding
- Augmented Language Models: a SurveyLLM reasoning → Reasoning benchmarks and evaluation
- Data Forensics in Diffusion Models: A Systematic Analysis of Membership PrivacyDiffusion models → Robustness, privacy and adversarial aspects
- Prioritized offline Goal-swapping Experience ReplayOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Video Probabilistic Diffusion Models in Projected Latent SpaceDiffusion models → Video generation
- Deep Offline Reinforcement Learning for Real-world Treatment Optimization ApplicationsOffline RL and imitation learning from data → Safe offline RL
- Offline-to-Online Knowledge Distillation for Video Instance SegmentationKnowledge distillation → Detection and dense prediction distillation
- The Capacity for Moral Self-Correction in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Cooperative Driving for Speed Harmonization in Mixed-Traffic EnvironmentsEnd-to-end autonomous driving → Cooperative and V2X driving
- VideoSum: A Python Library for Surgical Video Summarization
- Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference
- VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin
- Plug-and-Play Deep Energy Model for Inverse problems
- DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction
- Mimetic Muscle Rehabilitation Analysis Using Clustering of Low Dimensional 3D Kinect Data
- Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education
- The Effect of Information Type on Human Cognitive Augmentation
- `A-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting
- From Graph Generation to Graph Classification
- On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model
- Trust-Region-Free Policy Optimization for Stochastic Policies
- A Meta-Learning Approach to Population-Based Modelling of Structures
- Multi-Task Differential Privacy Under Distribution Skew
- Tree-Based Representation and Generation of Natural and Mathematical Language
- Self-supervised Registration and Segmentation of the Ossicles with A Single Ground Truth Label
- On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection
- Learning to Substitute Ingredients in Recipes
- Meta-Reinforcement Learning via Exploratory Task Clustering
- Tight Auditing of Differentially Private Machine Learning
- AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
- Self-Organising Neural Discrete Representation Learning `a la Kohonen
- Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
- Online Tool Selection with Learned Grasp Prediction Models
- Scalable Multi-Agent Reinforcement Learning with General Utilities
- The Expressive Power of Tuning Only the Normalization Layers
- Interpretable Deep Learning Methods for Multiview Learning
- A Deep Learning Technique to Control the Non-linear Dynamics of a Gravitational-wave Interferometer
- InfoNCE Loss Provably Learns Cluster-Preserving Representations
- COVID-VTS: Fact Extraction and Verification on Short Video Platforms
- Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility
- Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
- Improved Online Conformal Prediction via Strongly Adaptive Online Learning
- Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- Learning Performance-Improving Code Edits
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
- Almost Sure Saddle Avoidance of Stochastic Gradient Methods without the Bounded Gradient Assumption
- Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation
- Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
- Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
- Zero-Shot Anomaly Detection via Batch Normalization
- One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2
- NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation
- Deep Anomaly Detection under Labeling Budget Constraints
- Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
- Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
- AI pipeline for accurate retinal layer segmentation using OCT 3D images
- 'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
- Measuring the Instability of Fine-Tuning
- XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars
- Streamlining models with explanations in the learning loop
- SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs
- SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
- Whats New? Identifying the Unfolding of New Events in Narratives
- TFormer: A Transmission-Friendly ViT Model for IoT Devices
- On Finite-Step Convergence of the Non-Greedy Algorithm and Proximal Alternating Minimization Method with Extrapolation for L1-Norm PCA
- Audio-Visual Contrastive Learning with Temporal Self-Supervision
- Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars
- Photonic reservoir computing enabled by stimulated Brillouin scattering
- Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation
- Fine-tuning of sign language recognition models: a technical report
- Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data
- A Federated Learning Benchmark for Drug-Target Interaction
- On graph-based reentrancy-free semantic parsing
- Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
- DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
- Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
- Unsupervised Hashing with Similarity Distribution Calibration
- CERiL: Continuous Event-based Reinforcement Learning
- Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point Clouds
- Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control
- A Subspace Projection Approach to Autoencoder-based Anomaly Detection
- DP-BART for Privatized Text Rewriting under Local Differential Privacy
- Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
- Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
- Towards Optimal Compression: Joint Pruning and Quantization
- Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection
- Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems
- Toward matrix multiplication for deep learning inference on the Xilinx Versal
- ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
- Word class representations spontaneously emerge in a deep neural network trained on next word prediction
- ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction
- Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree
- Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
- Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
All 140
- Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
- Qualitative Data Augmentation for Performance Prediction in VLSI circuits
- Unsupervised classification to improve the quality of a bird song recording dataset
- On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it
- Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment
- Activity Cliff Prediction: Dataset and Benchmark
- Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism
- Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
- Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
- TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
- Best Arm Identification for Stochastic Rising Bandits
- Excess risk bound for deep learning under weak dependence
- Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
- Envisioning the Next-Gen Document Reader
- Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
- EdgeYOLO: An Edge-Real-Time Object Detector
- Optimal Sample Complexity of Stable Discounted Markov Decision Processes
- Sparse-SignSGD with Majority Vote for Communication-Efficient Distributed Learning
- Edge-weighted pFISTA-Net for MRI Reconstruction
- CUTS: Neural Causal Discovery from Irregular Time-Series Data
- A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation
- How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
- FedABC: Targeting Fair Competition in Personalized Federated Learning
- A model-free feature selection technique of feature screening and random forest based recursive feature elimination
- On-Demand Communication for Asynchronous Multi-Agent Bandits
- A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies
- Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model
- Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models
- Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation
- Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
- Bandit Social Learning: Exploration under Myopic Behavior
- Spatially heterogeneous learning by a deep student machine
- Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments
- Variable Selection for Kernel Two-Sample Tests
- A theory of desirable things
- Quantum Learning Theory Beyond Batch Binary Classification
- Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
- Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
- Conversational AI-Powered Design: ChatGPT as Designer, User, and Product
- Unsupervised physics-informed neural network in reaction-diffusion biology models (Ulcerative colitis and Crohn's disease cases) A preliminary study